微塑料
环境规划
人类健康
污染
生物修复
可持续发展
风险分析(工程)
环境科学
环境污染
系统回顾
斯科普斯
环境资源管理
持续性
风险评估
脆弱性(计算)
生化工程
协调
生态系统服务
环境保护
计算机科学
新颖性
重金属
基因组
塑料污染
特大城市
作者
Saurabh Dave,Poonam Hariyani,Hardik Pathak
标识
DOI:10.1080/10934529.2026.2616588
摘要
Microplastic (MP) pollution is a growing global concern with serious implications for ecosystems and human health. The present review provides a comprehensive analysis of the occurrence, mobility, and toxicological impacts of MPs, focusing on their role as vectors for heavy metals and persistent organic pollutants. The review explores their subsequent translocation into the human food web. This review summarizes and evaluates microbial and enzymatic degradation. The review framework integrates traditional environmental assessment with emerging technologies, specifically evaluating the efficacy of microbial enzymes (such as PETase and laccase) and the potential of artificial intelligence (AI)-enabled predictive modeling for pollution hotspot identification. This holistic approach bridges the gap between field-based quantification and advanced bioremediation strategies. The findings are contextualized within the UN Sustainable Development Goals (SDGs). Using the PRISMA 2020 guidelines, a systematic review of 666 studies published between 2010 and 2025 in the Scopus database was conducted to synthesize insights across multiple levels of MPs and bioremediation using published articles in India. The novelty lies in combining India-specific field data, cross-trophic toxicological insights, and AI to address existing research gaps. The framework aligns with multiple SDGs, including SDG 3, 6, 9, 12, and 14.
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